orange: Sensory description of 12 orange juices by 8 attributes.

In missMDA: Handling missing values with/in multivariate data analysis (principal component methods)

Description

Sensory description of 12 orange juices by 8 attributes. Some values are missing.

Usage

data(orange)

Format

A data frame with 12 rows and 8 columns. Rows represent the different orange juices, columns represent the attributes.

Details

A sensory data frame.

Source

Francois Husson, Agrocampus Rennes

Examples

data(orange)
## Not run: 
nb <- estim_ncpPCA(orange,ncp.min=0,ncp.max=5,method.cv="Kfold",nbsim=20,pNA=0.05)
res.comp <- imputePCA(orange,ncp=nb$ncp)
res.pca <- PCA(res.comp$completeObs)
resMI <- MIPCA(orange,ncp=nb$ncp)
plot(resMI)

## End(Not run)

missMDA documentation built on May 2, 2019, 5:46 p.m.